// Copyright 2019 Hans Dembinski // // Distributed under the Boost Software License, Version 1.0. // (See accompanying file LICENSE_1_0.txt // or copy at http://www.boost.org/LICENSE_1_0.txt) //[ guide_fill_accumulator #include #include #include #include #include #include int main() { using namespace boost::histogram; // make a profile, it computes the mean of the samples in each histogram cell auto h = make_profile(axis::regular<>(3, 0.0, 1.0)); // mean is computed from the values marked with the sample() helper function h(0.10, sample(2.5)); // 2.5 goes to bin 0 h(0.15, sample(3.5)); // 3.5 goes to bin 0 h(0.25, sample(1.2)); // 1.2 goes to bin 1 h(0.31, sample(3.4)); // 3.4 goes to bin 1 // fills from tuples are also supported auto xs = std::make_tuple(0.5, sample(3.1)); h(xs); // builtin accumulators have methods to access their state std::ostringstream os; for (auto x : indexed(h)) { // use `.` to access methods of accessor, like `index()` // use `->` to access methods of accumulator const auto i = x.index(); const auto n = x->count(); // how many samples are in this bin const auto vl = x->value(); // mean value const auto vr = x->variance(); // estimated variance of the mean value os << boost::format("bin %i count %i value %.1f variance %.1f\n") % i % n % vl % vr; } std::cout << os.str() << std::flush; // assert(os.str() == "bin 0 count 2 value 3.0 variance 0.2\n" // "bin 1 count 1 value 3.0 variance 0.2\n" // "bin 2 count 1 value 3.0 variance 0.2\n" // "bin 3 count 0 value 3.0 variance 0.2\n" // "bin 4 count 0 value 3.0 variance 0.2\n"); } //]